Training instance segmentation neural network with synthetic datasets for seed phenotyping

In the midst of unprecedented climate change and population growth, the establishment of a method to rapidly create elite crop varieties via selective breeding is a matter of urgency to maintain the food supply. In order to select such cultivars, it is necessary to define and evaluate a metric for what is a 'superior variety' in an efficient manner. For example, the shape of seeds is understood to be a trait closely linked to the quality and yield of crops, and is thus an important factor when conducting selective breeding.

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